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推进医学演示文稿中的创新:医学教育工作者使用人工智能生成图像的指南。

Advancing Innovation in Medical Presentations: A Guide for Medical Educators to Use Images Generated With Artificial Intelligence.

作者信息

Safadi Mhd Firas, Zayegh Obada, Hawoot Zakaria

机构信息

Department of General and Visceral Surgery, Annaberg Teaching Hospital, University of Leipzig, Annaberg-Buchholz, DEU.

College of Medicine and Health, University of Exeter, Exeter, GBR.

出版信息

Cureus. 2024 Dec 2;16(12):e74978. doi: 10.7759/cureus.74978. eCollection 2024 Dec.

Abstract

Multimedia learning theory suggests that the use of images in the classroom enhances both cognitive and constructive learning. Finding the appropriate images for medical presentations can be challenging due to copyright and privacy issues. Artificial intelligence (AI) image generation is a newly available technology that offers a great advantage to medical educators. This technical report presents a robust guide for beginners to learn how to effectively use AI to generate images relevant to their presentations using free tools. The 12 guide tips include adhering to multimedia theory, using cost-effective resources, recognizing the possibilities, learning the technique, mastering the jargon, expanding the natural language, using prompt templates, creating stories, employing humor, avoiding perfection, exploiting the versatility of applications, and recognizing the limitations and ethical issues. By working through the article and the supplementary material, readers will be able to produce images similar to those provided in the article and use them effectively in their medical presentations.

摘要

多媒体学习理论表明,在课堂上使用图像可增强认知学习和建构性学习。由于版权和隐私问题,为医学演示找到合适的图像可能具有挑战性。人工智能(AI)图像生成是一项新出现的技术,为医学教育工作者提供了巨大优势。本技术报告为初学者提供了一份实用指南,介绍如何使用免费工具有效地利用人工智能生成与他们的演示相关的图像。这12条指导提示包括遵循多媒体理论、使用性价比高的资源、认识各种可能性、学习技术、掌握行话、扩展自然语言、使用提示模板、创作故事、运用幽默、避免追求完美、利用应用程序的多功能性以及认识到局限性和伦理问题。通过研读本文及补充材料,读者将能够制作出与本文提供的图像类似的图像,并在医学演示中有效地使用它们。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67be/11692014/7aa5530246bf/cureus-0016-00000074978-i01.jpg

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